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p-value based statistical significance tests: Concepts, misuses, critiques, solutions and beyond [PDF]
Computational Ecology and Software, 2022 The p-value is at the heart of statistical significance tests, a very important issue related to the role of statistical inference in advancing scientific discovery. Over the past few decades, p-value based statistical significance tests have been widely
WenJun Zhang
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DETERMINATION OF CRITICAL VALUE OF AVAILABLE SOIL PHOSPHORUS FOR WHEAT (TRITICUM AESTIVUM L.) IN CALCAREOUS SOILS FROM GREECE [PDF]
Journal of Applied Life Sciences and Environment, 2022 Phosphorus is considered as a basic essential element for plant growth which cannot be substituted or manufactured and is, therefore, a scarce resource to ensure food security; its sound management is considered important.
Christos TSADILAS +3 more
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Frontiers in Neuroscience, 2021 The investigation of abstract cognitive tasks, e.g., semantic processing of speech, requires the simultaneous use of a carefully selected stimulus design and sensitive tools for the analysis of corresponding neural activity that are comparable across ...
Annika Urbschat +2 more
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A randomized trial in a massive online open course shows people don’t know what a statistically significant relationship looks like, but they can learn [PDF]
PeerJ, 2014 Scatterplots are the most common way for statisticians, scientists, and the public to visually detect relationships between measured variables. At the same time, and despite widely publicized controversy, P-values remain the most commonly used measure to
Aaron Fisher +3 more
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Statistical Measures to Quantify Similarity between Molecular Dynamics Simulation Trajectories
Entropy, 2017 Molecular dynamics simulation is commonly employed to explore protein dynamics. Despite the disparate timescales between functional mechanisms and molecular dynamics (MD) trajectories, functional differences are often inferred from differences in ...
Jenny Farmer +4 more
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Valid p-values and expectations of p-values revisited [PDF]
Annals of the Institute of Statistical Mathematics, 2020 Annals of the Institute of Statistical Mathematics. (2020)
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Indian Dermatology Online Journal, 2019 Biomedical research relies on proving (or disproving) a research hypothesis, and P value becomes a cornerstone of "null hypothesis significance testing." P value is the maximum probability of getting the observed outcome by chance. For a statistical test to achieve significance, the error by chance must be less than 5%.
Amrita Sil +2 more
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Making sense of statistics for family practitioner: 'p' ing with confidence
South African Family Practice, 2002 No abstract available.
Gboyego A. Ogunbanjo, David N. Durrheim
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Cell Systems, 2019 Cell Systems Editorial Board member Wolfgang Huber demonstrates how he thinks about small p values.
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BMC Medical Research Methodology, 2019 Background Until recently a typical rule that has often been used for the endorsement of new medications by the Food and Drug Administration has been the existence of at least two statistically significant clinical trials favoring the new medication ...
Don van Ravenzwaaij +1 more
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